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dbSNP Short Genetic Variations

Examples: rs268, BRCA1 and more Advanced search

Welcome to the Reference SNP (rs) Report

All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.

Reference SNP (rs) Report

This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.

rs979605

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chrX:43742116 (GRCh38.p14) Help

The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.

Alleles
A>G / A>T
Variation Type
SNV Single Nucleotide Variation
Frequency
A=0.344686 (91235/264690, TOPMED)
A=0.304160 (37096/121962, ALFA)
G=0.41597 (9244/22223, 14KJPN) (+ 13 more)
G=0.41517 (5332/12843, 8.3KJPN)
A=0.4293 (2063/4805, 1000G_30x)
A=0.4376 (1652/3775, 1000G)
A=0.2915 (1081/3708, TWINSUK)
G=0.4471 (1310/2930, KOREAN)
A=0.3008 (869/2889, ALSPAC)
A=0.4330 (815/1882, HapMap)
A=0.356 (190/534, MGP)
A=0.123 (45/366, SGDP_PRJ)
A=0.296 (32/108, Qatari)
G=0.38 (18/47, Vietnamese)
A=0.20 (8/40, GENOME_DK)
A=0.24 (8/34, Siberian)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
MAOA : Intron Variant
Publications
9 citations
Genomic View
See rs on genome

ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.

Release Version: 20230706150541
Population Group Sample Size Ref Allele Alt Allele
Total Global 121962 A=0.304160 G=0.695840
European Sub 100832 A=0.294351 G=0.705649
African Sub 7311 A=0.3822 G=0.6178
African Others Sub 254 A=0.425 G=0.575
African American Sub 7057 A=0.3806 G=0.6194
Asian Sub 678 A=0.590 G=0.410
East Asian Sub 514 A=0.595 G=0.405
Other Asian Sub 164 A=0.573 G=0.427
Latin American 1 Sub 814 A=0.286 G=0.714
Latin American 2 Sub 6460 A=0.3164 G=0.6836
South Asian Sub 196 A=0.663 G=0.337
Other Sub 5671 A=0.3200 G=0.6800


Help

Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").

Download
Study Population Group Sample Size Ref Allele Alt Allele
TopMed Global Study-wide 264690 A=0.344686 G=0.655314
Allele Frequency Aggregator Total Global 121962 A=0.304160 G=0.695840
Allele Frequency Aggregator European Sub 100832 A=0.294351 G=0.705649
Allele Frequency Aggregator African Sub 7311 A=0.3822 G=0.6178
Allele Frequency Aggregator Latin American 2 Sub 6460 A=0.3164 G=0.6836
Allele Frequency Aggregator Other Sub 5671 A=0.3200 G=0.6800
Allele Frequency Aggregator Latin American 1 Sub 814 A=0.286 G=0.714
Allele Frequency Aggregator Asian Sub 678 A=0.590 G=0.410
Allele Frequency Aggregator South Asian Sub 196 A=0.663 G=0.337
14KJPN JAPANESE Study-wide 22223 A=0.58403 G=0.41597
8.3KJPN JAPANESE Study-wide 12843 A=0.58483 G=0.41517
1000Genomes_30x Global Study-wide 4805 A=0.4293 G=0.5707
1000Genomes_30x African Sub 1328 A=0.3682 G=0.6318
1000Genomes_30x Europe Sub 961 A=0.281 G=0.719
1000Genomes_30x South Asian Sub 883 A=0.649 G=0.351
1000Genomes_30x East Asian Sub 878 A=0.571 G=0.429
1000Genomes_30x American Sub 755 A=0.305 G=0.695
1000Genomes Global Study-wide 3775 A=0.4376 G=0.5624
1000Genomes African Sub 1003 A=0.3659 G=0.6341
1000Genomes Europe Sub 766 A=0.289 G=0.711
1000Genomes East Asian Sub 764 A=0.571 G=0.429
1000Genomes South Asian Sub 718 A=0.648 G=0.352
1000Genomes American Sub 524 A=0.311 G=0.689
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.2915 G=0.7085
KOREAN population from KRGDB KOREAN Study-wide 2930 A=0.5529 G=0.4471, T=0.0000
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 2889 A=0.3008 G=0.6992
HapMap Global Study-wide 1882 A=0.4330 G=0.5670
HapMap American Sub 766 A=0.456 G=0.544
HapMap African Sub 688 A=0.390 G=0.610
HapMap Asian Sub 252 A=0.571 G=0.429
HapMap Europe Sub 176 A=0.307 G=0.693
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 A=0.356 G=0.644
SGDP_PRJ Global Study-wide 366 A=0.123 G=0.877
Qatari Global Study-wide 108 A=0.296 G=0.704
A Vietnamese Genetic Variation Database Global Study-wide 47 A=0.62 G=0.38
The Danish reference pan genome Danish Study-wide 40 A=0.20 G=0.80
Siberian Global Study-wide 34 A=0.24 G=0.76
Help

Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.

Genomic Placements
Sequence name Change
GRCh38.p14 chr X NC_000023.11:g.43742116A>G
GRCh38.p14 chr X NC_000023.11:g.43742116A>T
GRCh37.p13 chr X NC_000023.10:g.43601363A>G
GRCh37.p13 chr X NC_000023.10:g.43601363A>T
MAOA RefSeqGene NG_008957.2:g.90956A>G
MAOA RefSeqGene NG_008957.2:g.90956A>T
Gene: MAOA, monoamine oxidase A (plus strand)
Molecule type Change Amino acid[Codon] SO Term
MAOA transcript variant 1 NM_000240.4:c.1262+69A>G N/A Intron Variant
MAOA transcript variant 2 NM_001270458.2:c.863+69A>G N/A Intron Variant
Help

Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.

Not Reported in ClinVar
Help

Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".

Placement A= G T
GRCh38.p14 chr X NC_000023.11:g.43742116= NC_000023.11:g.43742116A>G NC_000023.11:g.43742116A>T
GRCh37.p13 chr X NC_000023.10:g.43601363= NC_000023.10:g.43601363A>G NC_000023.10:g.43601363A>T
MAOA RefSeqGene NG_008957.2:g.90956= NG_008957.2:g.90956A>G NG_008957.2:g.90956A>T
MAOA transcript variant 1 NM_000240.3:c.1262+69= NM_000240.3:c.1262+69A>G NM_000240.3:c.1262+69A>T
MAOA transcript variant 1 NM_000240.4:c.1262+69= NM_000240.4:c.1262+69A>G NM_000240.4:c.1262+69A>T
MAOA transcript variant 2 NM_001270458.1:c.863+69= NM_001270458.1:c.863+69A>G NM_001270458.1:c.863+69A>T
MAOA transcript variant 2 NM_001270458.2:c.863+69= NM_001270458.2:c.863+69A>G NM_001270458.2:c.863+69A>T
Help

Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.

113 SubSNP, 16 Frequency submissions
No Submitter Submission ID Date (Build)
1 TSC-CSHL ss1432444 Oct 05, 2000 (86)
2 YUSUKE ss2986852 Jun 15, 2001 (96)
3 HGBASE ss3187799 Aug 15, 2001 (98)
4 ACEVAN ss4258334 Jan 04, 2002 (102)
5 SC_JCM ss5775136 Feb 20, 2003 (111)
6 SC_SNP ss8177229 Apr 21, 2003 (114)
7 SC_SNP ss8488472 Jul 11, 2003 (116)
8 BCM_SSAHASNP ss10577614 Jul 11, 2003 (116)
9 SC_SNP ss15973530 Feb 27, 2004 (120)
10 CSHL-HAPMAP ss19813706 Feb 27, 2004 (120)
11 SSAHASNP ss21057870 Apr 05, 2004 (121)
12 PERLEGEN ss23816186 Sep 20, 2004 (123)
13 ABI ss43580879 Mar 14, 2006 (126)
14 ILLUMINA ss65721276 Oct 16, 2006 (127)
15 ILLUMINA ss74862209 Dec 07, 2007 (129)
16 AFFY ss76704368 Dec 08, 2007 (130)
17 CGM_KYOTO ss76876403 Dec 07, 2007 (129)
18 SI_EXO ss76898349 Dec 07, 2007 (129)
19 HGSV ss82498854 Dec 16, 2007 (130)
20 SHGC ss99307778 Feb 06, 2009 (130)
21 1000GENOMES ss112871409 Jan 25, 2009 (130)
22 1000GENOMES ss114663236 Jan 25, 2009 (130)
23 KRIBB_YJKIM ss119376542 Dec 01, 2009 (131)
24 ILLUMINA ss120240119 Dec 01, 2009 (131)
25 ENSEMBL ss133970547 Dec 01, 2009 (131)
26 ILLUMINA ss161012214 Dec 01, 2009 (131)
27 COMPLETE_GENOMICS ss163099001 Jul 04, 2010 (132)
28 COMPLETE_GENOMICS ss164832312 Jul 04, 2010 (132)
29 COMPLETE_GENOMICS ss166214129 Jul 04, 2010 (132)
30 ILLUMINA ss174897423 Jul 04, 2010 (132)
31 BUSHMAN ss204225399 Jul 04, 2010 (132)
32 BCM-HGSC-SUB ss208880116 Jul 04, 2010 (132)
33 ILLUMINA ss244260969 Jul 04, 2010 (132)
34 BL ss255983094 May 09, 2011 (134)
35 GMI ss283741995 May 04, 2012 (137)
36 GMI ss287608633 Apr 25, 2013 (138)
37 PJP ss294548272 May 09, 2011 (134)
38 1000GENOMES ss341453379 May 09, 2011 (134)
39 ILLUMINA ss481977448 May 04, 2012 (137)
40 ILLUMINA ss482011098 May 04, 2012 (137)
41 ILLUMINA ss482964708 Sep 08, 2015 (146)
42 ILLUMINA ss485782207 May 04, 2012 (137)
43 ILLUMINA ss537627529 Sep 08, 2015 (146)
44 TISHKOFF ss566850889 Apr 25, 2013 (138)
45 SSMP ss662785071 Apr 25, 2013 (138)
46 ILLUMINA ss779018635 Aug 21, 2014 (142)
47 ILLUMINA ss783336973 Sep 08, 2015 (146)
48 ILLUMINA ss784288487 Aug 21, 2014 (142)
49 ILLUMINA ss832598791 Sep 08, 2015 (146)
50 ILLUMINA ss834481216 Aug 21, 2014 (142)
51 JMKIDD_LAB ss1082896731 Aug 21, 2014 (142)
52 DDI ss1432035337 Apr 01, 2015 (144)
53 1000GENOMES ss1554248675 Apr 01, 2015 (144)
54 EVA_GENOME_DK ss1583381659 Apr 01, 2015 (144)
55 EVA_UK10K_ALSPAC ss1640681641 Apr 01, 2015 (144)
56 EVA_UK10K_TWINSUK ss1683675674 Apr 01, 2015 (144)
57 EVA_MGP ss1711580322 Apr 01, 2015 (144)
58 ILLUMINA ss1752807004 Sep 08, 2015 (146)
59 WEILL_CORNELL_DGM ss1939306046 Feb 12, 2016 (147)
60 GENOMED ss1971372810 Jul 19, 2016 (147)
61 USC_VALOUEV ss2159035118 Dec 20, 2016 (150)
62 HUMAN_LONGEVITY ss2317050662 Dec 20, 2016 (150)
63 SYSTEMSBIOZJU ss2629696785 Nov 08, 2017 (151)
64 ILLUMINA ss2634957227 Nov 08, 2017 (151)
65 GRF ss2710156834 Nov 08, 2017 (151)
66 GNOMAD ss2978334290 Nov 08, 2017 (151)
67 AFFY ss2986130257 Nov 08, 2017 (151)
68 SWEGEN ss3019897395 Nov 08, 2017 (151)
69 BIOINF_KMB_FNS_UNIBA ss3029042118 Nov 08, 2017 (151)
70 ILLUMINA ss3630426608 Oct 12, 2018 (152)
71 ILLUMINA ss3632843580 Oct 12, 2018 (152)
72 ILLUMINA ss3633557929 Oct 12, 2018 (152)
73 ILLUMINA ss3634287679 Oct 12, 2018 (152)
74 ILLUMINA ss3635247831 Oct 12, 2018 (152)
75 ILLUMINA ss3635965033 Oct 12, 2018 (152)
76 ILLUMINA ss3636996391 Oct 12, 2018 (152)
77 ILLUMINA ss3637718499 Oct 12, 2018 (152)
78 ILLUMINA ss3638856349 Oct 12, 2018 (152)
79 ILLUMINA ss3640955314 Oct 12, 2018 (152)
80 ILLUMINA ss3643780653 Oct 12, 2018 (152)
81 OMUKHERJEE_ADBS ss3646572039 Oct 12, 2018 (152)
82 URBANLAB ss3651269115 Oct 12, 2018 (152)
83 ILLUMINA ss3745548250 Jul 13, 2019 (153)
84 EVA ss3770116802 Jul 13, 2019 (153)
85 ILLUMINA ss3773039954 Jul 13, 2019 (153)
86 PACBIO ss3788894525 Jul 13, 2019 (153)
87 PACBIO ss3793758581 Jul 13, 2019 (153)
88 PACBIO ss3798643657 Jul 13, 2019 (153)
89 KHV_HUMAN_GENOMES ss3822948517 Jul 13, 2019 (153)
90 EVA ss3836157992 Apr 27, 2020 (154)
91 EVA ss3841692099 Apr 27, 2020 (154)
92 EVA ss3847211243 Apr 27, 2020 (154)
93 SGDP_PRJ ss3891343703 Apr 27, 2020 (154)
94 KRGDB ss3941746617 Apr 27, 2020 (154)
95 FSA-LAB ss3984440252 Apr 26, 2021 (155)
96 EVA ss3986876439 Apr 26, 2021 (155)
97 TOPMED ss5121348991 Apr 26, 2021 (155)
98 TOMMO_GENOMICS ss5234267162 Apr 26, 2021 (155)
99 1000G_HIGH_COVERAGE ss5312393568 Oct 16, 2022 (156)
100 EVA ss5316082187 Oct 16, 2022 (156)
101 HUGCELL_USP ss5504080359 Oct 16, 2022 (156)
102 1000G_HIGH_COVERAGE ss5620547657 Oct 16, 2022 (156)
103 EVA ss5623984799 Oct 16, 2022 (156)
104 EVA ss5624191328 Oct 16, 2022 (156)
105 SANFORD_IMAGENETICS ss5665161539 Oct 16, 2022 (156)
106 TOMMO_GENOMICS ss5795913303 Oct 16, 2022 (156)
107 EVA ss5800238574 Oct 16, 2022 (156)
108 YY_MCH ss5819013987 Oct 16, 2022 (156)
109 EVA ss5848741163 Oct 16, 2022 (156)
110 EVA ss5857070940 Oct 16, 2022 (156)
111 EVA ss5936581260 Oct 16, 2022 (156)
112 EVA ss5978162590 Oct 16, 2022 (156)
113 EVA ss5981155242 Oct 16, 2022 (156)
114 1000Genomes NC_000023.10 - 43601363 Oct 12, 2018 (152)
115 1000Genomes_30x NC_000023.11 - 43742116 Oct 16, 2022 (156)
116 The Avon Longitudinal Study of Parents and Children NC_000023.10 - 43601363 Oct 12, 2018 (152)
117 The Danish reference pan genome NC_000023.10 - 43601363 Apr 27, 2020 (154)
118 HapMap NC_000023.11 - 43742116 Apr 27, 2020 (154)
119 KOREAN population from KRGDB NC_000023.10 - 43601363 Apr 27, 2020 (154)
120 Medical Genome Project healthy controls from Spanish population NC_000023.10 - 43601363 Apr 27, 2020 (154)
121 Qatari NC_000023.10 - 43601363 Apr 27, 2020 (154)
122 SGDP_PRJ NC_000023.10 - 43601363 Apr 27, 2020 (154)
123 Siberian NC_000023.10 - 43601363 Apr 27, 2020 (154)
124 8.3KJPN NC_000023.10 - 43601363 Apr 26, 2021 (155)
125 14KJPN NC_000023.11 - 43742116 Oct 16, 2022 (156)
126 TopMed NC_000023.11 - 43742116 Apr 26, 2021 (155)
127 UK 10K study - Twins NC_000023.10 - 43601363 Oct 12, 2018 (152)
128 A Vietnamese Genetic Variation Database NC_000023.10 - 43601363 Jul 13, 2019 (153)
129 ALFA NC_000023.11 - 43742116 Apr 26, 2021 (155)
Help

History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).

Associated ID History Updated (Build)
rs56433112 May 26, 2008 (130)
rs61149340 May 26, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss82498854 NC_000023.8:43357616:A:G NC_000023.11:43742115:A:G (self)
ss112871409, ss114663236, ss161012214, ss163099001, ss164832312, ss166214129, ss204225399, ss208880116, ss244260969, ss255983094, ss283741995, ss287608633, ss294548272, ss481977448, ss3643780653 NC_000023.9:43486306:A:G NC_000023.11:43742115:A:G (self)
82225440, 45404797, 9546596, 48924011, 696082, 21347968, 43360683, 11551472, 92236469, 45404797, 10008406, ss341453379, ss482011098, ss482964708, ss485782207, ss537627529, ss566850889, ss662785071, ss779018635, ss783336973, ss784288487, ss832598791, ss834481216, ss1082896731, ss1432035337, ss1554248675, ss1583381659, ss1640681641, ss1683675674, ss1711580322, ss1752807004, ss1939306046, ss1971372810, ss2159035118, ss2629696785, ss2634957227, ss2710156834, ss2978334290, ss2986130257, ss3019897395, ss3630426608, ss3632843580, ss3633557929, ss3634287679, ss3635247831, ss3635965033, ss3636996391, ss3637718499, ss3638856349, ss3640955314, ss3646572039, ss3745548250, ss3770116802, ss3773039954, ss3788894525, ss3793758581, ss3798643657, ss3836157992, ss3841692099, ss3891343703, ss3941746617, ss3984440252, ss3986876439, ss5234267162, ss5316082187, ss5623984799, ss5624191328, ss5665161539, ss5800238574, ss5848741163, ss5936581260, ss5978162590, ss5981155242 NC_000023.10:43601362:A:G NC_000023.11:43742115:A:G (self)
108073592, 3978212, 129750407, 684955348, 6174747868, ss2317050662, ss3029042118, ss3651269115, ss3822948517, ss3847211243, ss5121348991, ss5312393568, ss5504080359, ss5620547657, ss5795913303, ss5819013987, ss5857070940 NC_000023.11:43742115:A:G NC_000023.11:43742115:A:G (self)
ss8488472, ss10577614 NT_011568.12:6421230:A:G NC_000023.11:43742115:A:G (self)
ss15973530, ss19813706, ss21057870 NT_011568.13:10752:A:G NC_000023.11:43742115:A:G (self)
ss76898349 NT_079573.3:6453129:A:G NC_000023.11:43742115:A:G (self)
ss1432444, ss2986852, ss3187799, ss4258334, ss5775136, ss8177229, ss23816186, ss43580879, ss65721276, ss74862209, ss76704368, ss76876403, ss99307778, ss119376542, ss120240119, ss133970547, ss174897423 NT_079573.4:6453106:A:G NC_000023.11:43742115:A:G (self)
48924011, ss3941746617 NC_000023.10:43601362:A:T NC_000023.11:43742115:A:T (self)
Help

Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

9 citations for rs979605
PMID Title Author Year Journal
16174289 MAOA haplotypes associated with thrombocyte-MAO activity. Jansson M et al. 2005 BMC genetics
16848906 Genetic polymorphisms in monoamine neurotransmitter systems show only weak association with acute post-surgical pain in humans. Kim H et al. 2006 Molecular pain
19657584 Negative emotionality: monoamine oxidase B gene variants modulate personality traits in healthy humans. Dlugos AM et al. 2009 Journal of neural transmission (Vienna, Austria
19693267 Financial and psychological risk attitudes associated with two single nucleotide polymorphisms in the nicotine receptor (CHRNA4) gene. Roe BE et al. 2009 PloS one
19772600 A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data. Huang LC et al. 2009 Journal of translational medicine
20158590 Predicting phenotype from genotype: normal pigmentation. Valenzuela RK et al. 2010 Journal of forensic sciences
21533127 Replication of TCF4 through association and linkage studies in late-onset Fuchs endothelial corneal dystrophy. Li YJ et al. 2011 PloS one
31129315 Systematic Review and Meta-Analysis of Genetic Risk of Developing Chronic Postsurgical Pain. Chidambaran V et al. 2020 The journal of pain
33986613 MAOB rs3027452 Modifies Mood Improvement After Tryptophan Supplementation. Gonzalez I et al. 2021 International journal of general medicine
Help

The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

Genome context:
Select flank length:

Genomic regions, transcripts, and products
Top▲ Help

NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.

Software version is: 2.0.1.post761+d5e8e07